8 generative engine optimization best practices your strategy needs
Uncategorized8 generative engine optimization best practices your strategy needs
Despite what the headlines would have you believe, artificial intelligence (AI) isn’t new. The term and early technology date back to the 1950s, but generative AI (which emerged in the 2010s) is undeniably new terrain.
With both leaving their mark on consumer search behavior, marketing strategies like generative engine optimization (GEO) are not just becoming popular but essential.
But that doesn’t mean generative trauma ensues. Let’s unpack how your business and marketing team can navigate the changes, unknowns, and competition with generative AI SEO best practices.
Table of Contents
What is Generative Engine Optimization?
Why generative engine optimization matters now
Generative engine optimization best practices you can implement today
Common generative engine optimization pitfalls to avoid
Frequently asked questions about generative engine optimization best practices
Generating Generative Success
What is generative engine optimization?
Generative engine optimization (GEO) is about making your website and content easy for AI-powered search tools (like ChatGPT, Gemini, Perplexity) to find, understand, and cite.
When someone asks one of these tools a question, the AI systems scan content across the web to create an answer. It doesn’t give you a list of resources that could be helpful, like search engine optimization, but it aims to directly answer your question while citing websites it thinks are reliable. GEO helps your content get chosen as one of those lucky resources.
TLDR: SEO gets you on the party guest list (SERP)....
/